Manish Anand

Data Scientist

Bengaluru, Karnataka, India6 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

3.5+ years of data science experience.
Co-authored a patent at Verizon.
Specialized in machine learning and NLP.

Stackforce AI infers this person is a Data Scientist specializing in machine learning and NLP for business optimization.

Contact

anandmanish2000@gmail.com LinkedIn

Skills

Core Skills

Machine LearningCausal AiGenerative AiData Science

Other Skills

Artificial Neural NetworksBERT (Language Model)CC (Programming Language)C++Cluster AnalysisConvolutional Neural Networks (CNN)DBSCAN clusteringData AnalysisData ModelingData ModelsDeep LearningDeep Neural Networks (DNN)Defining RequirementsEvent Management

About

I am a Data Scientist with 3.5+ years of experience, specializing in statistical modeling, machine learning, deep learning, NLP, and Gen AI to solve complex problems and deliver impactful business solutions. Proficient in Python, Azure ML, and GCP, I have hands-on experience in projects like ASR systems, RAG models, causal analysis, and NLP applications to optimize operations and enhance customer experiences. As a co-author of the patent "Streaming Commerce with Dynamic Product Displays" (US12126855B2) filed at Verizon, I have demonstrated my ability to innovate and drive technological advancements. Passionate about data-driven decision-making, I focus on transforming complex data into actionable insights to optimize strategies and fuel growth. Let’s connect and explore new opportunities together!

Experience

6 yrs 9 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 5 mos

Current Experience

Zepto

Data Scientist 2

Jan 2025 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

Kenvue

Data Scientist

Dec 2023 – Jan 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India · Hybrid

At Kenvue, I developed machine learning models and applied causal AI to optimize decision-making and drive business insights. I worked on a generative AI RAG project to enhance information retrieval from Confluence with high accuracy. Additionally, I applied causal modeling to optimize decision-making related to key supply chain metrics, improving operational efficiency and performance. Collaborated across teams to deliver data-driven solutions that enhanced customer experiences and business outcomes.

machine learningcausal AIgenerative AIRAGinformation retrieval

Verizon

Engr II- Data Science

Aug 2021 – Nov 2023 · 2 yrs 3 mos · Chennai, Tamil Nadu, India · Hybrid

At Verizon, I worked on several data-driven initiatives to optimize network performance and customer experience:
Developed an anomaly detection system to reduce network downtime and enhance customer satisfaction.
Applied bipartite graph analysis for customer retention and targeted marketing strategies.
Optimized network planning and resource allocation using DBSCAN clustering.
Co-authored a patent for "System and method for audiovisual content analysis on edge devices" (US12126855B2).
Patent link: https://patents.google.com/patent/US12126855B2/en

anomaly detectionbipartite graph analysisDBSCAN clusteringpatent co-authoringdata sciencemachine learning

Indian institute of technology, guwahati

Senator, Students Gymkhana Council

Apr 2019 – Apr 2021 · 2 yrs · Guwahati, Assam, India

Elected as a Senator to address concerns and devise policies for the welfare of students on campus.

Reflux, iit guwahati

Core Team Member

Apr 2019 – Sep 2019 · 5 mos

Managed a bunch of team members of the event management team in order to plan the events and programmes that will be held during the fest.
Reflux, the Annual Symposium organized by the Department of Chemical Engineering of IIT Guwahati.